Jia Cui
Impact in
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Speech and Audio Processing 13
- Music and Audio Processing 11
-
- Speech Recognition and Synthesis 23
- Natural Language Processing Techniques 12
- Speech and dialogue systems 5
- Topic Modeling 5
- Co-authors
- Bhuvana RamabhadranBrian KingsburySamuel ThomasTakashi FukudaGakuto KurataDong YuAbhinav SethyChengzhu Yu
- Journals
- Buildings (2 papers)IEEE Access (2 papers)Signal Processing (2 papers)Digital Signal Processing (1 paper)Neural Networks (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jia Cui
48 papers receiving 643 citations
Peers
Comparison fields: 5 of 83
- Signal Processing 329
- Artificial Intelligence 527
- Computer Vision and Pattern Recognition 134
- Human-Computer Interaction 16
- Building and Construction 38
Countries citing papers authored by Jia Cui
This map shows the geographic impact of Jia Cui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jia Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Cui more than expected).
Fields of papers citing papers by Jia Cui
This network shows the impact of papers produced by Jia Cui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jia Cui. The network helps show where Jia Cui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jia Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 49 | |
| 10 | 2021 | 3 | |
| 11 | 2018 | 38 | |
| 12 | 2017 | 149 | |
| 13 | 2017 | 29 | |
| 14 | 2017 | 1 | |
| 15 | 2016 | 11 | |
| 16 | 2014 | 2 | |
| 17 | 2013 | 30 | |
| 18 | 2013 | 27 | |
| 19 | 2013 | 43 | |
| 20 | Application of genetic algorithm combined with fuzzy clustering in information filtering system | 2008 | 1 |
About Jia Cui
Jia Cui is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Architecture and Geology, having authored 54 papers that have together received 715 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (13 papers), Natural Language Processing Techniques (12 papers), Music and Audio Processing (11 papers), Visual Attention and Saliency Detection (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Speech and dialogue systems (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Signal Processing (329 citations), Artificial Intelligence (527 citations), Computer Vision and Pattern Recognition (134 citations), Human-Computer Interaction (16 citations) and Building and Construction (38 citations). Jia Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bhuvana Ramabhadran, Brian Kingsbury, Samuel Thomas, Takashi Fukuda, Gakuto Kurata, Dong Yu, Abhinav Sethy, Chengzhu Yu, Xiaodong Cui and Lidia Mangu. Their work appears in journals such as Buildings, IEEE Access, Signal Processing, Digital Signal Processing and Neural Networks.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.